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Found 6 papers, 1 papers with code
TransBench: Benchmarking Machine Translation for Industrial-Scale Applications
Machine translation (MT) has become indispensable for cross-border communication in globalized industries like e-commerce, finance, and legal services, with recent advancements in large language models (LLMs) significantly enhancing translation quality.
Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement
We have collected a substantial amount of multilingual data for several low-resource languages and conducted extensive continual pre-training using the Qwen2 models.
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Currently OpenAI o1 sparks a surge of interest in the study of large reasoning models (LRM).
Life Regression based Patch Slimming for Vision Transformers
In this study, we tackle the patch slimming problem from a different perspective by proposing a life regression module that determines the lifespan of each image patch in one go.
How To Prevent the Continuous Damage of Noises To Model Training?
To address this problem, the proposed GSS alleviates the damage by switching the current gradient direction of each sample to a new direction selected from a gradient direction pool, which contains all-class gradient directions with different probabilities.
A Loopback Network for Explainable Microvascular Invasion Classification
The loopback between two branches enables the category label to supervise the cell locating branch to learn the locating ability for cancerous areas.
